轉職熱搜工作

1.Develop and integrate software and firmware for unmanned vehicles such as UAVs and USVs. 2.Design and implement embedded firmware for sensor data acquisition, communication interfaces, and control logic. 3.Develop multi-sensor fusion algorithms (IMU, GPS, LiDAR, Camera) to enhance localization and navigation accuracy. 4.Collaborate with the autonomy and control algorithm teams for module integration and performance tuning. 5.Build system testing scripts and debugging tools; conduct software validation and field testing. 6.Prepare and maintain technical documentation to ensure reliability and scalability of the system. 7.Requirements communication: Communicate requirements with cross-departmental teams and report issues to the R&D department.

1. Proficiently manage Linux operating systems, overseeing system configurations, user administration, and ensuring security protocols. 2. Skillfully write shell scripts for task automation, system monitoring, and seamless administrative operations. 3. Expertly install and configure software applications. 4. Independently develop robust applications in C/C++ and Python 5. Engineer and integrate APIs, showcasing expertise in mutual invocation of functions between C++ and Python.

1. Develop, test, and debug ROS2 drivers and nodes for robotic sensing systems to ensure the accuracy and real-time performance of sensor data acquisition and processing. 2. Participate in the full robotics development lifecycle, including hardware integration, firmware development, algorithm design, simulation, system validation, and field testing. 3. Utilize Linux and ROS2 frameworks to develop, optimize, and maintain critical robotics modules, including SLAM (Simultaneous Localization and Mapping), Nav2 navigation stack, and sensor fusion technologies. 4. Conduct research and development on advanced AI technologies, including Large Language Models (LLMs), Vision Language Models (VLMs), and Vision-Language-Action Models (VLAs), while collaborating with cross-functional teams on proof-of-concept validation and prototype system development.

1. Design/develop system architecture for 3D display system including display hardware and imaging software and develop 3D imaging computing algorithms. 2. Design testing flow and process. 3. Suggest and Develop related apllications.

Education & Experience • Bachelor’s or Master’s Mechanical Engineering or a related field. • 10+ years of experience in mechanical design, with a focus on server, data center or RAN hardware. • Experience in designing and architecting rack-level and system-level mechanical solutions. • Hands-on experience in thermal, structural, and mechanical system design for HPC and AI server architectures. Technical Skills • CAD software proficiency (SolidWorks, Creo, CATIA, or similar). • Strong knowledge of thermal management (heat sinks, liquid cooling, airflow optimization..). • Expertise in sheet metal, plastics, and die-casting design and manufacturing processes. • Familiarity with Finite Element Analysis (FEA) and Computational Fluid Dynamics (CFD) for structural and thermal simulations. • Experience with server chassis design, PCB and component integration, and EMI shielding. • Understanding of rack-level power and cooling infrastructure. • Familiarity with L10~L12 internal/external cable form factors and applications, as well as cable routing management, space planning, and related infrastructure assessment. Industry Knowledge & Standards • Familiarity with server industry standards. • Knowledge of data center environments and operational constraints. Soft Skills & Leadership • Strong problem-solving and analytical skills. • Ability to lead and collaborate with cross-functional teams, including electrical, thermal, and manufacturing engineers. • Experience in DFM (Design for Manufacturability) and DFA (Design for Assembly) principles. • Good communication skills for technical documentation and presentations.

1. Research and development of multi-modal perception fusion algorithm software. 2. Machine learning/machine vision, and AI/GAI/Agentic AI algorithm research and development.

(1)Responsible for automotive product development: part survey, schematics capture, layout checking, simulation, BOM generating, debugging and testing. (2)Responsible for automotive product development documents: DFMEA, PPAP…etc (3)Collaborate with layout engineers, validation engineers, software engineers, firmware engineers, power engineers and other teams to discover and solve any issues of designs in early stage to ensure and enhance the quality of the products. (4)Accomplish the products to conform to engineering specifications, customer performance expectations. Understand the vehicle certification/regulations/customer testing requirements. (5)Understand the factory production process and testing methods.

1. 規劃測試機台運作流程與排程，以提升測試產能。 2. 管理測試設備硬體，並提昇機台的穩定性。 3. 管理機台量測，以及異常事件的即時防堵和調查追蹤。 4. 規劃、評估新廠及新機台的擴增效益。 5. 導入新產品時，協助製程或研發設計的評估、解析與改善。 6. 撰寫、維護與修改測試機台應用軟體，以提昇機台檢出產品缺陷的能力。 7. 評估並選擇合適的機台零件或耗材廠商，以降低成本支出。 8. 即時監控產品品質報表。 10. 即時解析異常產品，或協調研發、製程等相關工程師共同解析。 11. 建立及發展測試缺陷紀錄的資料庫。

職責範圍包括： 1. 設計與開發智慧感測器及物聯網裝置之⼈⼯智慧演算法，提升系統效能與可靠度。2. 負責跨領域專案合作，將⼈⼯智慧技術整合應⽤於各產業，如EdgeAI相機、智慧醫療、智慧農業(農漁、寵物)等。 3. 執⾏⼈⼯智慧模型訓練與驗證，提供⾼精確度解決⽅案，並持續改良系統以因應多變環境。 4.參與技術研發會議，與團隊成員共享知識與經驗，不斷創新研發，促進產業升級發展。 「⼈⼯智慧物聯網開發⼯程師」職務內容： 1.設計開發智慧感測器及物聯網裝置之⼈⼯智慧演算法，強化系統效能與穩定性。 2.於跨域專案中合作，將⼈⼯智慧技術成功應⽤於醫療、製造及農業等不同產業。3.執⾏⼈⼯智慧模型訓練與測試，提出⾼準確度解決⽅案，並追求系統最佳化。 4.出席技術研發會議，與團隊共享知識能量，不斷創新研發，帶動產業進步。 ⼯作內容與需求技術: 1. ⼈⼯智慧演算法開發(深度學習、視訊分析、Transformer) 2. 系統平台整合 3. 程式撰寫(⾄少⼆種: C, C++, Python, Java, JavaScript) 4. ⼈⼯智慧運算平台(⾄少⼀種: TensorFlow, Pytorch, Darknet) 5. ⼈⼯智慧物聯網(⾄少⼆種: AIoT, Embedded System, Cloud, Web Server, FTP Server)